Automatic Number Plate Recognition: Fundamentals and Applications

· One Billion Knowledgeable · Me narratim nga inteligjenca artificiale nga Mason (nga Google)
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What Is Automatic Number Plate Recognition


Automatic number-plate recognition is a technique that reads car registration plates by employing optical character recognition on photographs of the plates. This allows for the creation of data regarding the location of vehicles. It may make use of existing closed-circuit television, cameras installed for the purpose of enforcing road rules, or cameras that have been specifically created for the job. Law enforcement agencies all over the world make use of automatic number plate recognition (ANPR) technology for a variety of reasons, including checking to see if a vehicle is licensed or registered. It is also used for the electronic collection of tolls on roads that operate on a pay-per-use basis and as a tool for cataloguing the movements of traffic, for example by organizations responsible for highways.


How You Will Benefit


(I) Insights, and validations about the following topics:


Chapter 1: Automatic number-plate recognition


Chapter 2: Intelligent transportation system


Chapter 3: Traffic enforcement camera


Chapter 4: Electronic toll collection


Chapter 5: Open road tolling


Chapter 6: Video tolling


Chapter 7: Automatic number-plate recognition in the United Kingdom


Chapter 8: Under vehicle inspection


Chapter 9: LIDAR traffic enforcement


Chapter 10: Domain Awareness System


(II) Answering the public top questions about automatic number plate recognition.


(III) Real world examples for the usage of automatic number plate recognition in many fields.


(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of automatic number plate recognition' technologies.


Who This Book Is For


Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of automatic number plate recognition.

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Fouad Sabry is the former Regional Head of Business Development for Applications at HP in Southern Europe, Middle East, and Africa (SEMEA). Fouad has received his B.Sc. of Computer Systems and Automatic Control in 1996, dual master’s degrees from University of Melbourne (UoM) in Australia, Master of Business Administration (MBA) in 2008, and Master of Management in Information Technology (MMIT) in 2010. 

Fouad has more than 20 years of experience in Information Technology and Telecommunications fields, working in local, regional, and international companies, such as Vodafone and IBM in Middle East and Africa (MEA) region. Fouad joined HP Middle East (ME), based in Dubai, United Arab Emirates (UAE) in 2013 and helped develop the software business in tens of markets across Southern Europe, Middle East, and Africa (SEMEA) regions. Currently, Fouad is an entrepreneur, author, futurist, focused on Emerging Technologies, and Industry Solutions, and founder of One Billion Knowledgeable (1BK) Initiative.

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